Modelling camera viewing angle deviation to improve nearshore video monitoring

• Published in: Coastal engineering (Amsterdam) Vol. 147; pp. 99 - 106
• Main Authors: Bouvier, Clément, Balouin, Yann, Castelle, Bruno, Holman, Robert
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2019; Elsevier
• Subjects: Coastal management; Earth Sciences; Empirical modelling; Geomorphology; Image rectification; Ocean, Atmosphere; Sciences of the Universe; Video monitoring; Video monitoring; Image rectification; Coastal management; Empirical modelling; video monitoring; image rectification
• ISSN: 0378-3839; 1872-7379
• DOI: 10.1016/j.coastaleng.2019.02.009

Video monitoring the nearshore can provide high-frequency remotely-sensed optical information from which morphological changes and hydrodynamic data can be derived. Although overlooked in most of the studies, it is acknowledged that camera viewing angles can substantially vary in time for a variety of reasons, reducing consistently data accuracy. This paper aims to identify the primary environmental parameters controlling camera shifts at the video monitoring station of Sète (SE France) and develops an empirical model to routinely reduce these deviations. Our model simulates camera movements with an excellent skill (BSS = 0.87) and shows that camera viewing angles’ deviation is primarily controlled by the position of the sun during sunny days, making it predictable. This study opens new perspective to routinely improve camera geometry of video monitoring systems. •The influence of camera viewing angles' deviation on nearshore video monitoring is explored.•The environmental parameters controlling camera movements at the video station of Sète, SE France, are identified.•Camera viewing angle deviations are simulated using an empirical model significantly reducing the geo-rectification errors.